A Common-Sense Guide to Data Structures and Algorithms: Level Up Your Core Programming Skills

A Common-Sense Guide to Data Structures and Algorithms: Level Up Your Core Programming Skills

2017 | ISBN: 1680502441 | English | 222 Pages | True PDF | 7 MB

Algorithms and data structures are much more than abstract concepts. Mastering them enables you to write code that runs faster and more efficiently, which is particularly important for today's web and mobile apps. This book takes a practical approach to data structures and algorithms, with techniques and real-world scenarios that you can use in your daily production code. Graphics and examples make these computer science concepts understandable and relevant. You can use these techniques with any language; examples in the book are in JavaScript, Python, and Ruby.

Use Big O notation, the primary tool for evaluating algorithms, to measure and articulate the efficiency of your code, and modify your algorithm to make it faster. Find out how your choice of arrays, linked lists, and hash tables can dramatically affect the code you write. Use recursion to solve tricky problems and create algorithms that run exponentially faster than the alternatives. Dig into advanced data structures such as binary trees and graphs to help scale specialized applications such as social networks and mapping software. You'll even encounter a single keyword that can give your code a turbo boost. Jay Wengrow brings to this book the key teaching practices he developed as a web development bootcamp founder and educator.

Use these techniques today to make your code faster and more scalable.

Download:

http://longfiles.com/pj734040rzvo/A_Common-Sense_Guide_to_Data_Structures_and_Algorithms_Level_Up_Your_Core_Programming_Skills.pdf.html

[Fast Download] A Common-Sense Guide to Data Structures and Algorithms: Level Up Your Core Programming Skills


Ebooks related to "A Common-Sense Guide to Data Structures and Algorithms: Level Up Your Core Programming Skills" :
Scalability Patterns: Best Practices for Designing High Volume Websites
Getting Started with Kudu: Perform Fast Analytics on Fast Data
Visualizing Streaming Data: Interactive Analysis Beyond Static Limits
DevOps, DBAs, and DBaaS: Managing Data Platforms to Support Continuous Integration
The No-nonsense Guide to Born-digital Content
Data Mining with R: Learning with Case Studies
Spark for Data Science
Apache Karaf Cookbook
Web Semantics for Textual and Visual Information Retrieval
SQL Server AlwaysOn Revealed
Copyright Disclaimer:
This site does not store any files on its server. We only index and link to content provided by other sites. Please contact the content providers to delete copyright contents if any and email us, we'll remove relevant links or contents immediately.
ads300
histats code